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IEEE International Symposium on Power Electronics for Distributed Generation Systems (PEDG)

作者： Cungang Hu Qunjing Wang Guoli Li Hu Jun Fanglin Luo Ministry of Education Engineering Research Center of Power Quality Hefei China National Engineering Laboratory of Energy-Saving Motor & Control Technology Hefei China School of Electrical Engineering and Automation Anhui University Hefei China Anhui University Hefei Anhui CN School of Electrical and Electronic Engineering Nanyang Technological University Singapore

ISBN: (纸本)9781467386180

Pulse-width-modulation (PWM) method is a crucial technique to construct multilevel converter. A hybrid PWM combining the merits of both space vector PWM (SVPWM) and selective harmonic elimination PWM (SHEPWM) is proposed for the five-level active neutral-point clamped converter. SVPWM can lead to high DC voltage utilization and low ripple current at low frequency band. SHEPWM can eliminate specific low-order harmonics at high frequency band. After implementing SHEPWM, the remaining high-order harmonics can be easily eliminated by the designed filter. Large vibration usually happens to the changeover of two modulation methods. A control strategy is proposed in this paper to implement the smooth changeover between SHEPWM and SVPWM at any time. The simulation and experimental results are provided to verify the effectiveness of this control strategy.

关键词： Space vector pulse width modulation Switches Power harmonic filters Harmonic analysis Switching frequency

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Identifying equivalent load model of power systems with wind power integration

Identifying equivalent load model of power systems with wind...

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UKACC International Conference on control (control)

作者： Zi Zhu Xuefeng Bai Wei Zhang Ruiye Liu Ying Xu School of Electrical Engineering and Automation Harbin Institute of Technology Harbin China North China Branch of State Grid Power Dispatch and Control Center Beijing China

With a large number of wind farms integrated into power systems, the load characteristics of the power systems will vary, resulting in the inapplicability of the traditional load model. Thus, it is of great importance to describe the load characteristics of power systems by taking the impact of the integration of the wind power into consideration. This paper first discusses the influence of wind power integration on the original load model. Wind speed, which has the most direct impact on the output of the wind turbine, is introduced as a new variable for load modelling. By combing the voltage variation of the system, a static equivalent load model is proposed in this paper, wherein, the structure of the proposed load model is also discussed. Measurement-based load Modelling with large amount of measurements requires to process a large number of measured data. This paper utilizes the density based clustering algorithm (DBSCAN) to mine the core data, and reconstructs the surface of the load characteristic based on the mined core data. A static equivalent load model with wind power integration is then established. Compared with the model that is modeled directly without data processing, the proposed load model is more accurate.

关键词： Load modeling Wind speed Wind power generation Data models Analytical models Voltage measurement Surface fitting

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Locomotion control for quadruped robot based on Central Pattern Generators

Locomotion control for quadruped robot based on Central Patt...

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Chinese control Conference (CCC)

作者： Mengyin Wang Zhiyong Tang Bin Chen Jinhui Zhang School of Automation Science and Electrical Engineering Beihang University Beijing CN North Inf. Control Group Co. Ltd. Nanjing China

Central Pattern Generators (CPG) is widely used for robot locomotion control because of its biological nature advantages. CPG networks are located in the spinal cord of vertebrates and responsible for the generation of rhythmic movements. This paper presents a locomotion control framework for quadruped robot. The framework comprises two parts: CPG network and workspace trajectories generator. CPG network is used to generate different rhythmic signals for different gaits. The workspace trajectories generator is related to calculate desired position of foot at a given moment. This locomotion control framework not only gets the merit of biological nature from CPG, but it also retains the diversity of the control method based on models. Only several parameters in this method need to be modulated to realize the periodic movements. Simulation results are presented to demonstrate the practicality and simplicity of the proposed method.

关键词： Legged locomotion Trajectory Foot Oscillators Robot kinematics Generators

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Edge enhanced SIFT for moving object detection

Edge enhanced SIFT for moving object detection

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International Conference on Informative and Cybernetics for Computational Social Systems (ICCSS)

作者： Ting-Wei Chu Shun-Feng Su Ming-Chang Chen Sendren Sheng-Dong Xu Kao-Shing Hwang Department of Electrical Engineering National Taiwan University of Science and Technology Taipei Taiwan Graduate Institute of Automation and Control National Taiwan University of Science and Technology Taipei Taiwan Department of Electrical Engineering National Sun Yat-Sen University Kaohsiung Taiwan

ISBN: (纸本)9781509033683

This paper is to report our study on the moving object detection from surveillance images. For motion detection, some existed methods are used to find specific features between images and then to define the moving speeds of objects. However, human-created features may be difficult to define and to acquire especially when the objects are unknown. In this paper, the scale-invariant feature transform (SIFT) method is adopted to define features for motion detection. In the image, SIFT can be used to catch the properties of scale and rotation invariant. Even if the foreground target is partially obscured and the image is taken in a different angle and distance, SIFT can still have nice matching performances. However, when applied in detecting moving objects, SIFT does not work well due to finding incorrect features in the match. In this study, an enhanced edge detection method is proposed for Laplace of Gaussian (LoG) based SIFT. From the simulation results, it is evident that our proposed method can find more feature matching in the video image.

关键词： Feature extraction Support vector machines Image edge detection Motion detection Histograms Computer vision Object detection

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Small P values may not yield robust findings:an example using REST-meta-PD

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Science Bulletin 2021年第21期66卷 2148-2152,M0003页

作者： Xi-Ze Jia Na Zhao Hao-Ming Dong Jia-Wei Sun Marek Barton Roxana Burciu Nicolas Carrière Antonio Cerasa Bo-Yu Chen Jun Chen Stephen Coombes Luc Defebvre Christine Delmaire Kathy Dujardin Fabrizio Esposito Guo-Guang Fan Federica Di Nardo Yi-Xuan Feng Brett W.Fling Saurabh Garg Moran Gilat Martin Gorges Shu-Leong Ho Fay BHorak Xiao Hu Xiao-Fei Hu Biao Huang Pei-Yu Huang Ze-Juan Jia Christina Jones Jan Kassubek Lenka Krajcovicova Ajay Kurani Jing Li Qing Li Ai-Ping Liu Bo Liu Hu Liu Wei-Guo Liu Renaud Lopes Yu-Ting Lou Wei Luo Tara Madhyastha Ni-Ni Mao Grainne McAlonan Martin J.McKeown Shirley Pang Andrea Quattrone Irena Rektorova Alessia Sarica Hui-Fang Shang James M.Shine Priyank Shukla Tomas Slavicek Xiao-Peng Song Gioacchino Tedeschi Alessandro Tessitore David Vaillancourt Jian Wang Jue Wang Z.Jane Wang Lu-Qing Wei Xia Wu Xiao-Jun Xu Lei Yan Jing Yang Wan-Qun Yang Nai-Lin Yao De-Long Zhang Jiu-Quan Zhang Min-Ming Zhang Yan-Ling Zhang Cai-Hong Zhou Chao-Gan Yan Xi-Nian Zuo Mark Hallett Tao Wu Yu-Feng Zang Center for Cognition and Brain Disorders the Affiliated HospitalHangzhou Normal UniversityHangzhou 310015China Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments Hangzhou 311121China National Basic Science Data Center Beijing 100190China State Key Laboratory of Cognitive Neuroscience and Learning&McGovern Institute for Brain Research Beijing Normal UniversityBeijing 100875China School of Information and Electronics Technology Jiamusi UniversityJiamusi 154007China Neuroscience Program Central European Institute of TechnologyCEITECMasaryk UniversityBrno 62500Czech Republic Department of Applied Physiology and Kinesiology University of FloridaGainesville FL 32611USA Univ.Lille InsermCHU LilleU1172-LilNCog-Lille Neuroscience&CognitionLille F-59000France The Institute for Biomedical Research and Innovation National Research CouncilMangone CS 87050Italy Department of Radiology The First Affiliated Hospital of China Medical UniversityShenyang 110001China Department of Radiology Guangdong Provincial Hospital of Chinese MedicineGuangzhou 510120China Department of Medicine Surgery and DentistryScuola Medica SalernitanaUniversity of SalernoFiscianoSA 132-84084Italy Department of Advanced Medical and Surgery Sciences University of Campania“Luigi Vanvitelli”Caserta 81100Italy Eye Center of the 2nd Affiliated Hospital Medical College of Zhejiang UniversityHangzhou 310020China Zhejiang Provincial Key Lab of Ophthalmology Hangzhou 310020China Department of Health and Exercise Science Colorado State UniversityFort Collins CO 80523USA Pacific Parkinson’s Research Centre University of British ColumbiaVancouver BC V6E 2M6Canada Department of Medicine(Neurology)University of British Columbia Vancouver BC V6T 1B7Canada Brain and Mind Center The University of SydneySydney NSW 2006Australia Department of Neurology Ulm UniversityUlm 89081Germany Division of Neurology Department of MedicineQueen Mary HospitalUniversity of Hong KongHong Kong 999077China Department of

Thousands of resting state functional magnetic resonance imaging(RS-f MRI)articles have been published on brain *** precise localization of abnormal brain activity,a voxel-level comparison is *** of the large number of voxels in the brain,multiple comparison correction(MCC)must be performed to reduce false positive rates,and a smaller P value(usually including either liberal or stringent MCC)is widely recommended[1].

关键词：帕金森病 precise correction

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IEEE International Conference on Cyber Technology in automation, control, and Intelligent Systems

作者： Guoyong Yang Hongguang Wang Jizhong Xiao Fan Yang Shenyang Institution of Automation Chinese Academy of Sciences Shenyang China University of Chinese Academy of Sciences Beijing China Department of Electrical Engineering New York USA Beijing Institute of Control Engineering Beijing China

ISBN: (纸本)9781509027347

This paper presents similarity analysis of two running states of antenna pointing mechanism (APM) in space and on the air bearing simulator with load based on similarity theory. The running states of APM in space and on the air bearing simulator are described. The structure of air bearing simulator is introduced briefly. The similarity rules of APM running state are derived. Because the running state of APM on the simulator is not strictly similar with the running state in space, the degree of approximate similarity is calculated by deriving the item quantity degree of similarity and numerical degree of similarity. The parameters affecting the degree of similarity are analyzed and the main parameters are found to improve the degree of similarity.

关键词： Mathematical model Rotors Gravity Stators Payloads Atmospheric modeling Antenna theory

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Adaptive Dynamic programming for Residential Energy Scheduling with Solar Energy

Adaptive Dynamic Programming for Residential Energy Scheduli...

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World Congress on Intelligent control and automation

作者： Yancai Xu Derong Liu Qinglai Wei Biao Luo The State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing 100190 China School of Automation and Electrical Engineering University of Science and Technology Beijing Beijing 100083 China

ISBN: (纸本)9781467384155

Residential energy scheduling on demand side is a hot research area for saving energy and balancing loads. In this paper, an adaptive dynamic programming method is proposed for residential energy scheduling to reduce cost between two adjacent housing units. Two sets of storage batteries and solar stations make energy scheduling problems quite complicated while using traditional methods. The scheduling algorithm is designed based on action dependent heuristic dynamic programming. In the utility function, the weighting function is given to adjust the remaining capacities of batteries. Furthermore, the temperature becomes an input of neural networks to stay close to reality. Simulation results show the effectiveness of saving cost and balancing loads.

关键词： Batteries Dynamic programming Solar energy Discharges (electric) Training Dynamic scheduling

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I&I based Command Filtered Back-stepping of Pure-feedback Systems in presence of Non-linearly Parameterized Uncertainty 34

I&I based Command Filtered Back-stepping of Pure-feedback Sy...

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第三十四届中国控制会议

作者： JI Yuehui ZONG Qun NI Weichen LI Junfang School of Electrical Engineering and Tianjin Key Laboratory for Control Theory & Applications in Complicated Systems Tianjin University of Technology Department of Electrical Engineering and Automation Tianjin University

ISBN: (纸本)9781467374439

An Immersion and Invariance-based command filtered back-stepping control, is addressed for non-linearly parameterized pure-feedback systems, which avoids the complicate analytic derivatives in traditional back-stepping design. In the underlying control scheme, integral sliding-mode filters are designed to approximate the virtual control derivatives, to solve the nd in pure feedback system. The resulting closed-loop system consists of controller-filter pair, which both satisfy the input-to-state stability(ISS) property, providing the celebrated small-gain theorem can be exploited to guarantee the stability of closed-loop system. Referring to the issue of non-linearly parameterized uncertainty, adaptive laws are derived via Immersion and Invariance technique. Numerical simulations are included to illustrate the effectiveness of proposed control scheme.

关键词： Command filtered backstepping,Immersion and Invariance,Pure feedback System,Non-linearly Parameterized Uncertainty

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Prediction of Energy Consumption in Office Buildings Based on Echo State Network

Prediction of Energy Consumption in Office Buildings Based o...

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World Congress on Intelligent control and automation

作者： Guang Shi Derong Liu Qinglai Wei The State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing 100190 China School of Automation and Electrical Engineering University of Science and Technology Beijing Beijing 100083 China

ISBN: (纸本)9781467384155

Energy consumption of an office building is generally divided into energy consumptions from sockets, lights and air-conditioners, which are measured in each room of the office building by three ammeters installed inside, respectively. On the other hand, an office building generally consists of several types of rooms, i.e., office rooms, computer rooms, storage rooms, meeting rooms, etc., the energy consumption of which varies in accordance with different working routines in each type of room. In this paper, several novel reservoir topologies of echo state network (ESN) are proposed, and ESNs with different reservoir topologies are applied to predicting energy consumption of rooms in an office building. A case study shows that the proposed simplified reservoir topologies are sufficient to achieve outstanding performance of ESN in the prediction of building energy consumption.

关键词： Energy consumption Reservoirs Buildings Topology Training Computers Sockets energy consumption office buildings Power outlets Socket Buildings reservoirs Computers topology Functional training Rooms built structure office Electronic Serial Number Air conditioners

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Robustness of controlling edge dynamics in complex networks against node failure

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Physical Review E 2016年第5期94卷 052310-052310页

作者： Shao-Peng Pang Fei Hao Wen-Xu Wang The Seventh Research Division School of Automation Science and Electrical Engineering Beihang University Beijing 100191 China Science and Technology on Aircraft Control Laboratory Beihang University Beijing 100191 China School of Systems Science Beijing Normal University Beijing 100875 China School of Electrical Computer and Energy Engineering Arizona State University Tempe Arizona 85287 USA

The robustness of controlling complex networks is significant in network science. In this paper, we focus on evaluating and analyzing the robustness of controlling edge dynamics in complex networks against node failure. Using three categories of all nodes to quantify the robustness, we find that the percentages of the three types of nodes are mainly related to the degree distribution of networks. The simulation results of model networks and analytic calculations show that the sparse inhomogeneous networks, which emerge in many real complex networks, have strong control robustness from the point of the number of ordinary nodes, but the strong positive correlation between in and out degrees reduces the control robustness. Evaluation of real-world networks indicates that most of them have few or no critical nodes, that is, they do not need to increase driver nodes to maintain control for most of node failures. Then an adding circuit-link strategy is proposed to optimize the robustness of edge controllability.

关键词： Degree correlations Degree distributions Network optimization Robustness Directed networks Real world networks

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